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Conferences
Jie Qiao
8 papers at tracked venues · 8 at CORE A* · active 2024–2025
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AAAI
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ICML
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NeurIPS
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Frequent coauthors
Zhengming Chen
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Weilin Chen
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Yu Xiang
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Yuequn Liu
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Ruichu Cai
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Papers
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025
·
Zhengming Chen
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Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
·
Jie Qiao
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
ICML 2024
·
Weilin Chen
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Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
AAAI 2024
·
Jie Qiao
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NeurIPS 2024
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Zhengming Chen
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On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
NeurIPS 2024
·
Yu Xiang
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TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
·
Yuequn Liu
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Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
·
Ruichu Cai
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